Triple
T23362671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Be Perfect: The Correct Answer to Every Moral Question |
E593224
|
entity |
| Predicate | hasCompanionField |
P152429
|
FINISHED |
| Object | television writing |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: television writing | Statement: [How to Be Perfect: The Correct Answer to Every Moral Question, hasCompanionField, television writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionField Context triple: [How to Be Perfect: The Correct Answer to Every Moral Question, hasCompanionField, television writing]
-
A.
hasCompanionIndex
Indicates that an entity is associated with a specific companion identified by an index or positional number within a set of companions.
-
B.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
-
C.
hasCompanionActor
Indicates that one actor is accompanied or associated by another actor as a companion in a given context or activity.
-
D.
hasCompanionRoute
Indicates that one route is associated with another route that serves as its companion, typically running in parallel, in the opposite direction, or as a complementary service.
-
E.
hasCompanionInText
Indicates that one entity is accompanied by or associated with another entity within the same textual context or passage.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:30 p.m.